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Master of Technology in Computer Science Engineering

Master of Technology in Computer Science Engineering

at Bhai Gurdas Group Of Institutions India

Overview

      

Master of Technology in Computer Science & Engineering is a postgraduate Computer Engineering course. Computer Science and Engineering consider the design and use of computing components, software or hardware, to solve technical problems in an efficient and competitive way.

The focus is on understanding and making the right choice of abstractions thus making it possible to implement IT solutions from existing and future components. It covers areas such as safe and secure systems, system integration, distributed and embedded systems, networks, software engineering, algorithms and logic, system-on-chip, and digital systems. As a student in Computer Science and Engineering, you will take part in this active IT environment.

   

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

24

Duration

Bhai Gurdas Group Of Institutions

Location

Master of Technology in Computer Science Engineering Assistant Fee

$60000

Tuition Fee

$NA

Average Cost of Living

$0

Application Fee

Master of Technology in Computer Science Engineering Admissions Requirements

  • Minimum Level of Education Required: To be accepted into this program, all those candidates who have passed B.E. / B. Tech. with atleast 50% (45% in case of candidate belonging to reserved category) marks in aggregate and with valid GATE Score shall be eligible to apply for Post graduate level M.Tech. Course.

     

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Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

24

Duration

Study Visa

      

Master of Technology in Computer Science & Engineering is a postgraduate Computer Engineering course. Computer Science and Engineering consider the design and use of computing components, software or hardware, to solve technical problems in an efficient and competitive way.

The focus is on understanding and making the right choice of abstractions thus making it possible to implement IT solutions from existing and future components. It covers areas such as safe and secure systems, system integration, distributed and embedded systems, networks, software engineering, algorithms and logic, system-on-chip, and digital systems. As a student in Computer Science and Engineering, you will take part in this active IT environment.

   

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